similar to: make check-all failed on SLES8 for x86_64

Hallo, I've just installed R on our Opteron System (AMD Opteron 246). Running make check-all results in a failure during the lapack test: > ## ------- tests of random real and complex matrices ------ > > ## 100 may cause failures here. > eigenok <- function(A, E, Eps=1000*.Machine$double.eps) + { + V <- E$vect; lam <- E$values +

I see the comment here about some 64bit combinations failing. Well, my configuration fails. Is this really something to worry about? for R-patched: fi1->cat SVN-REVISION Revision: 39576 Last Changed Date: 2006-10-03 fi1-> > ## failed for some 64bit-Lapack-gcc combinations: > sm <- cbind(1, 3:1, 1:3) > eigenok(sm, eigen(sm)) Error: abs(A %*% V - V %*% diag(lam)) < Eps is

I see that the comment in the lapack test indicates that developers are aware of this issue. Are there any known fixes to this problem? compiler flags, etc. an upgrade to a more recent gcc is not an option for me. this occurred while doing make check-all on R-patched_2007-02-11.tar.gz with the following: RHEL3 on x86_64 gcc (GCC) 3.2.3 20030502 (Red Hat Linux 3.2.3-47) GNU Fortran (GCC

Today I tried to install the R-2.5.0 (currently running R-2.4.1) on Mandriva Linux. The ./configure and make commands seem to run fine, but "make check" gives the following messages: running regression tests make[3]: Entering directory `/home/ethomp04/R-2.5.0/tests' running code in 'reg-tests-1.R' ...make[3]: *** [reg-tests-1.Rout] Error 1 make[3]: Leaving directory

4.8-stable as/of jun 9th (update scheduled) has gcc version, 2.95.4 i'm building mod_php3 (some local stuff needs a php3 processor) with mysql support. using the mysql323 client/server from ports. mysql (which i know i've built before on older stable's) reports gcc can't convert longlong to something or other... basicly saying i need a newer compiler. i'm installing gcc33

Hi list!: I found this error trying to compile the kernel 2.4.30 after apply the patches from openswan-1.0.9. The error ocurrs using: kernel 2.4.30 (xenU kernel) iptables 1.3.3 patch-o-matic-ng-20051010 openswan 1.0.9 the menu fails going to netfilter configuration options [root@xenkbunk linux-2.4.30-xenUOSW-1.0.9]# make CC=gcc33 ARCH=xen menuconfig rm -f include/asm ( cd include ; ln -sf

I've got the book Samba-3 By Example and I'm trying to get my Samba to work with our Active Directory Server. But for that I need Samba 3, which was no problem since I found rpms at http://ftp.sernet.de/pub/samba/sles8-i386/ (You can also find rpms for other distros there). But the book also tells me that I need either Heimdal 0.6 (plus specific patches) or MIT Kerberos 1.3.1 or

Has anyone got unix password sync for samba3.0.x running successfully on SLES8 server? Do I need the SLES service packs? Is there an interaction with PAM that I need to be aware of? I've compiled the full developer build of samba from 3.0.4-4 source. Compile was successful. I'm running tdbsam as password backend. I've troubleshooted quit a bit using google, docs, etc. as

Hi Samba folks, Im new for linux and samba so sorry if i ask to much, but can anyone send me working config files for %subj ? Thanks in advice WBR, Ruslanas Cechovskis UAB "Forbis"

I've built several versions and never seen this before: Compiling smbd/server.c In file included from /usr/include/asm/statfs.h:6, from /usr/include/linux/vfs.h:4, from /usr/include/linux/fs.h:13, from /usr/include/linux/capability.h:17, from /usr/include/sys/capability.h:24, from include/includes.h:340,

Hi, i've some problems with winbind in Samba 3.0 Beta1. The configuration: Samba 3.0 Beta1 installed under Sles8 on IBM z800 (s390) compiled with gcc 3.2 and installed pam-devel-0.76-32 configure options: ./configure --with-pam --with-winbind --with-acl-support --with-tdbsam --with-libsmbclient --with-smbwrapper --with-utmp --with-quotas NT PDC with SP6a NT workstation with SP6a i try

I'm trying to get Samba to compile on SLES8 SP3 (Linux under z/VM) and I'm getting the following error. Configure ran fine with "./configure --with-ads --with-winbind --with-krb5", but when I run make I get the following output and error. Using FLAGS = -O -I/usr/local/include -I./popt -Iinclude -I/usr/local/downloads/samba-3.0.2a/source/include

Hi ? This is giving me a headache. I?m trying to do a relatively simple optimization ? actually trying to approximate the output from the Excel Solver function but at roughly 1000x the speed. ? The optimization parameters look like this. The only trouble is that I want to add a constraint that sum(wgt.vect)=1, and I can?t figure out how to do that in optim. Mo.vect <-

Hello, I have a question regarding subsetting of vectors. Here's an example of what I'm trying to do: vect.1 <- c(76,195, 290, 380) vect.2 <- c(63, 95, 133, 170, 215, 253, 285, 299, 325, 375) I would like to subset vect.2 so that it has the same length as vect.1, and its numbers are the first corresponging higher value compared to vect.1. The output should be: final.output =

Hi, I got caught out by this behaviour in 1.8.0 and I wondered why this happens: I have a list of vectors and was using lapply and grep to remove matched elements that occur in only a subset of the elements of the list: locs <- lapply(locs, function(x){x[- grep("^x", x)]}) The problem is that where the grep finds no matches and hence returns a vector of length 0, all the

Thanks Bert. But everyone on that forum wants to use finance tools rather than general optimization stuff! And I am not optimizing a traditional Markowitz mean-variance problem. Plus, smarter people here. :-) > On May 3, 2018, at 3:01 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > You can't -- at least as I read the docs for ?optim (but I'm pretty > ignorant

Hi there, I have a numeric vector let say: Vect <- c(12.234, 234.5675, 1.5) Now I want a string vector like: changedVec <- c("012.234", "234.568", "001.500") Would be grateful if somebody help me how can I do that. Thanks and regards, [[alternative HTML version deleted]]

Folks; I am having a problem with the cv.glm and would appreciate someone shedding some light here. It seems obvious but I cannot get it. I did read the manual, but I could not get more insight. This is a database containing 3363 records and I am trying a cross-validation to understand the process. When using the cv.glm, code below, I get mean of perr1 of 0.2336 and SD of 0.000139. When using a

I'm trying to use Rprof() to identify bottlenecks and speed up a particullary slow section of code which reads in a portion of a tif file and compares each of the values to values of predictors used for model fitting. I've written up an example that anyone can run. Generally temp would be a section of a tif read into a data.frame and used later for other processing. The first portion

Hi All, I want to draw samples (n=4) from one of 2 triangular distributions for each value in a matrix. I am using an ifelse statement to try to define which distribution to draw from. >From the output, I can see that the ifelse statement is choosing the correct distribution, however, my n=4 simulations aren't occurring. Is there a way to adjust the ifelse statement to fix this, or must